U.S. patent application number 10/562416 was filed with the patent office on 2007-11-15 for radiation stress non-invasive blood pressure method.
Invention is credited to Patrick K. Sullivan.
Application Number | 20070265535 10/562416 |
Document ID | / |
Family ID | 33551988 |
Filed Date | 2007-11-15 |
United States Patent
Application |
20070265535 |
Kind Code |
A1 |
Sullivan; Patrick K. |
November 15, 2007 |
Radiation Stress Non-Invasive Blood Pressure Method
Abstract
The invention determines the energy dispersion via acoustic,
electromechanical or other related physiological signals collected
from a patient that lies down or otherwise engages a discritized
sensing array. Signals are monitored over a range of frequencies
and collected in the time domain or frequency domain. A computing
machine determines the energy from the signal measured over various
elements of the array and calculates the momentum flux. Blood
pressure is determined directly from the momentum flux
calculation.
Inventors: |
Sullivan; Patrick K.;
(Kailua, HI) |
Correspondence
Address: |
Craig B Bailey;Fulwider Patton
Howard Hughes Center
10th Floor 6060 Center Drive
Los Angeles
CA
90045
US
|
Family ID: |
33551988 |
Appl. No.: |
10/562416 |
Filed: |
June 28, 2004 |
PCT Filed: |
June 28, 2004 |
PCT NO: |
PCT/US04/20767 |
371 Date: |
December 23, 2005 |
Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
|
|
60482460 |
Jun 26, 2003 |
|
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|
Current U.S.
Class: |
600/504 |
Current CPC
Class: |
A61B 5/11 20130101; A61B
5/6892 20130101; A61B 5/021 20130101; A61B 7/00 20130101; A61B
2562/046 20130101; A61B 2562/0204 20130101; A61B 2562/0247
20130101 |
Class at
Publication: |
600/504 |
International
Class: |
A61B 5/02 20060101
A61B005/02 |
Claims
1. A radiation stress, non-invasive vital sign monitoring method
comprising: providing one or more discretized sensor arrays,
engaging the one or more discretized sensor arrays, measuring and
collecting discretized acoustic, electromechanical or other
physiological signals with the discretized sensing array,
transmitting discretized signals to a receiving and computing
device, producing time series data from various discretized sensor
array signals, calculating energy spectrum from the time series
data, determining variance of each discretized sensor array,
calculating a value for vital signs of a patient.
2. The method of claim 1, wherein the vital signs are average,
mean, systolic and diastolic arterial blood pressure.
3. The method of claim 1, wherein the vital signs are hypertension
and related medical conditions.
4. The method of claim 1, further comprising lying on, standing on,
or otherwise contacting the discretized sensor arrays.
5. The method of claim 1, wherein the collecting the discretized
acoustic, electromechanical or other physiological signals is
performed over a range of frequencies.
6. The method of claim 1, wherein the collecting the discretized
acoustic, electromechanical or other physiological signals is
performed over a single frequency.
7. The method of claim 1, wherein the collecting acoustic,
electromechanical or other physiological signals further comprises
collecting data in a time domain or frequency domain.
8. The method of claim 1, wherein the calculating a value for vital
signs is performed with non-time series methods for determining
energy at various array points or a combination of array
points.
9. The method of claim 1, wherein the transmitting of discretized
signals comprises transmitting discretized signals via wire, fiber
optics or wirelessly.
10. The method of claim 1, further comprising providing continuous,
real-time monitoring of a patient's vital signs.
11. The method of claim 1, further comprising calculating the
momentum flux from data gathered from the discretized signal
arrays.
12. The method of claim 11, further comprising calculating a
patient's vital signs from the momentum flux.
13. The method of claim 1, wherein the one or more discretized
sensor arrays are not attached to the patient.
14. A radiation stress, non-invasive vital sign monitoring device
comprising: one or more discretized sensor arrays for measuring and
collecting discretized acoustic, electromechanical, or other
physiological signals from a patient, a surface on the one or more
discretized sensor arrays for engaging a patient, a transmission
system for transmitting data collected by the one or more
discretized sensor arrays, a receiving device for receiving the
transmitted data from the one or more discretized sensor arrays,
and a computing device connected to the receiving device for
calculating values of vital signs of the patient by producing time
series data from various discretized sensor array signals,
calculating energy spectrum from the time series data, and
determining variance of each discretized sensor array.
15. The device of claim 14, wherein the vital signs are average,
mean, systolic and diastolic arterial blood pressure.
16. The device of claim 14, wherein the vital signs are
hypertension and related medical conditions.
17. The method of claim 14, wherein the patient lies on, stands on,
or otherwise contacts the discretized sensor arrays.
18. The method of claim 14, wherein the discretized sensor arrays
collect the discretized acoustic, electromechanical or other
physiological signals over a range of frequencies.
19. The method of claim 14, wherein the discretized sensor arrays
collect the discretized acoustic, electromechanical or other
physiological signals is performed over a single frequency.
20. The method of claim 14, wherein the discretized sensor arrays
collect the discretized acoustic, electromechanical or other
physiological signals in a time domain or frequency domain.
21. The method of claim 14, wherein the computing device calculates
a value for vital signs with non-time series methods for
determining energy at various array points or a combination of
array points.
22. The method of claim 14, wherein the transmission system
transmits discretized signals via wire, fiber optics or
wirelessly.
23. The method of claim 14, wherein the discretized sensor arrays
provide continuous, real-time monitoring of a patient's vital
signs.
24. The method of claim 14, wherein the computing device computes
the momentum flux from data gathered from the discretized signal
arrays.
25. The method of claim 24, wherein the computing device further
computes a patient's vital signs from the momentum flux.
26. The method of claim 14, wherein the one or more discretized
sensor arrays are not attached to the patient.
Description
BACKGROUND OF THE INVENTION
[0001] Current methods for measurement of blood pressure and other
vital signs are inefficient. Many measurements of patient vital
signs are invasive procedures that are uncomfortable or
inconvenient for the patient. Typically, the measurement of blood
pressure requires the use of a cuff around the arm of a patient and
is a non-continuous "spot-check" that does not reflect the true
state of patient physiology.
[0002] Needs exist for improved methods of continuous non-invasive
blood pressure measurements.
SUMMARY OF THE INVENTION
[0003] The present invention is a system that provides
non-invasive, real-time, continuous collection and processing of
signals from a patient to determine the current condition of the
patient. The present invention relates preferably to the
measurement of blood pressure. This measurement includes the
average, mean, systolic and diastolic arterial blood pressure.
However, the present invention is not limited to the measurement of
blood pressure; other vital signs can be measured and processed as
well. The present method also provides for continuous, non-invasive
monitoring of hypertension and other related medical
conditions.
[0004] The present invention uses acoustic, electromechanical or
other related physiological signals collected from a patient. To
operate the monitoring device, the patient engages discritized,
discrete, separated sensors in one or more discrete sensing arrays
installed in a bed, chair or any other equipment that the patient
will use. The patient lies down on, sits on, stands on, or
otherwise engages the discritized sensing array, and signals are
monitored over a range of frequencies or at a specific frequency.
Data is collected as a time series or another similar method. Data
is transferred to a computing device in the form of a voltage
signal via wire, fiber optics or wireless technology.
[0005] The energy spectra of each array point are determined and
then are used to determine the variance of each array.
Computational analysis of the data collected is used to determine
energy momentum flux of blood flowing through the patient. Non-time
series methods are used to determine energy at various array points
or at a combination of array points. Momentum flux is determined
from the data collected by the discritized separate sensors in each
array. Blood pressure is related to the momentum flux through a
mathematical algorithm. A computing device performs the computation
of blood pressure.
[0006] These and further and other objects and features of the
invention are apparent in the disclosure, which includes the above
and ongoing written specification, with the claims and the
drawings.
BRIEF DESCRIPTION OF THE DRAWINGS
[0007] FIG. 1 is a diagram of the monitoring system with a
discritized array.
[0008] FIG. 2 is a diagram of energy spectra collected from
location 1 to location n.
[0009] FIG. 3 is a schematic representation of a person lying on an
array of sensors.
[0010] FIGS. 4 and 5 are schematic representations of portions of
sheets with sensor arrays.
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
[0011] The present invention is a system that provides real-time,
continuous collection and processing of signals from a patient to
determine the condition of the patient. The present invention
relates preferably to the measurement of blood pressure. The
measurements include the average, mean, systolic and diastolic
arterial blood pressure. The present invention is not limited to
the measurement of blood pressure; other vital functions, for
example, heart rate and pulses and electrical signals, can be
measured and processed as well. The present method provides for
continuous, non-invasive monitoring of hypertension and other
related medical conditions.
[0012] FIG. 1 shows a diagram of a monitoring system 1 and a
discritized array 3 of separate sensors 9. The present invention
uses acoustic, electromechanical or other related physiological
signals collected from a patient 5 in contact with the discritized
sensors in the sensing array 3. The discritized sensing array 3 is
a relatively flat device 7 with individual sensing arrays 9
dispersed throughout the surface of the discritized sensing array
3. The patient 5 lies down on, stands on, or otherwise engages the
discritized sensing array 3, and signals are monitored over a range
of frequencies or at a specific frequency, as shown in FIG. 3. Data
is collected as a time series or another similar method. Data is
collected from individual sensing arrays 9, from grid locations 1
to n, via acoustic, electromechanical or other physiological
signals.
[0013] The discritized sensing array 3 can have sensors arranged in
various regular or irregular configurations. FIG. 4 and FIG. 5 show
different arrangements of individual sensors 9 on a portion of the
large discritized sensing array.
[0014] The discritized sensing array 3 provides time series data
that is analyzed to produce energy spectra at locations 1 to n, as
shown in FIG. 2. The data is used to determine the variance of the
time series signals. Computational analysis of data collected is
used to determine momentum flux of energy through the patient.
[0015] Blood pressure is related to the momentum flux through a
mathematical model. The following relationship relates the incoming
data to blood pressure: Pa=K*(E1-En)=Average pressure due to excess
flow of momentum [0016] Pa=Average blood pressure [0017] K=Constant
[0018] E1=Summation of energy spectra (area under the
curve-variance of time series) at location 1.times.Pulse wave
velocity [0019] En=Summation of energy spectra (area under the
curve-variance of time series) at location n.times.Pulse wave
velocity
[0020] A computing device performs the computation of blood
pressure. The results of computation are output to the user.
[0021] The radiation stress, non-invasive blood pressure device of
the present invention uses time series analysis and computational
methods to process acoustic, electromechanical or other
physiological signals from the patient. An energy spectrum is
created by the sensing arrays to calculate the variance. The
variance is the area under the energy spectra curve. Non-time
series methods are used to determine energy at various array
points.
[0022] While the invention has been described with reference to
specific embodiments, modifications and variations of the invention
may be constructed without departing from the scope of the
invention, which is described in the following claims.
* * * * *